Study On Aeroelastic Characteristics Simulation Of Smart Rotor

In recent years,as more attention has been paid to sustainable development,wind power has been rapidly developing.To capture greater wind energy at lower cost,larger wind turbines are being considered.However,an increase in the rotor size will place the blade in a more complex aerodynamic environment,creating a more violent blade deformation,and increasing the fluctuation in output power.These problems have seriously affected the lifetime of wind turbines and the quality of output power.To solve these problems,the aeroelastic characteristics of large-scale smart rotors are analyzed,and the technology of trailing edge flaps is studied in this paper.The achievements are as follows:(1)In order to develop a more accurate smart rotor model,the aerodynamic damping and bend-twist coupling of the smart rotor under unsteady wind conditions are analyzed.The effects of the aeroelastic characteristics on the blades vibration and output power of smart rotor are studied.Aeroelastic analysis shows that aerodynamic damping and bend-twist coupling can affect the aerodynamic load and thus significantly reduce blades vibration and output power fluctuation.(2)An NREL 5 MW reference wind turbine is selected as the modeling object.An improved smart rotor aeroelastic model is developed,considering the factors of unsteady aerodynamic force,gravity and centrifugal force.And then,the improved model is compared with FAST for verification.The results show that the improved aeroelastic model has a good agreement with the FAST.(3)Multi-objective controllers of trailing edge flap is designed based on PID control method and robust adaptive tracking control method,respectively,and the fluctuations in flapwise tip deflection and output power are controlled under turbulent wind conditions.The results show that the active trailing edge flap control method can effectively reduce the blade vibration and fluctuation in output power.Compared with the PID control,the robust adaptive tracking control method has better control performance.